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Measuring research’s policy influence is challenging, given the complexity of the policy process, the gradual nature of policy influence, and the time lag between research investment and impact. This paper assesses measurement approaches and discusses their merits and applications to overcome various hurdles.

Relevant articles and studies were selected and analyzed. First, the research-policy interface was revisited to understand their link and how research influences policy making. Second, the most common approaches for measuring policy influence were reviewed based on their features, strengths, and limitations.

The three approaches reviewed — pyramid, influencing, and results chain — have their respective strengths. Thus, research organizations planning to design a program for monitoring and evaluation (M&E) of policy influence have to adopt the best possible features of each approach and develop a customized method depending on their objectives and overall M&E framework.

This paper fosters a deeper understanding of leveraging the three approaches.

The purpose of this study was to conduct a preliminary analysis of the role of higher education institutions (HEIs) in state climate science assessment (CSA) and state climate adaptation plan (CAP) development in the USA.

This study uses a content review of US state government and land grant (LG) university websites, including 36 CSAs and CAPs. These data informed the development of a tiered conceptual model of HEI engagement in state climate action planning. The conceptual model is evaluated through the lens of coproduction within knowledge networks.

HEI contributions to state-level climate action planning in the USA are highly variable, ranging from minimal engagement to defined roles in the development and implementation of robust state CAPs. Novel approaches to optimize effective exchange between scientists and decision-makers that also increase the engagement of academia are needed.

This study advocates for and provides a replicable example of HEI engagement in the development of mechanisms that increase the connectivity of in-state climate networks. Such mechanisms optimize information sharing and engagement, consequently building sustained capacity for in-state collaboration at the science–policy interface.

HEIs, particularly LG universities, are a stable source of state-specific climate science and expert assistance that persist beyond national and state political cycles. To the best of the authors’ knowledge, this research is the first to examine their unique contributions to climate science policy development and implementation. It investigates specifically the relationships and interactions between HEIs and state governments in the USA and offers a detailed case study from the state of Maine.

This paper aims to look at the implementation of project-funded research governance and its potential to induce organisational learning on responsible research and innovation (RRI). This paper analysed what types of organisational learning and change can take place within organisations of an Europe-funded project and to what extent. This paper examined whether and how change occurs and how it is shaped and co-produced with other orderings.

The paper is based on materials and evidence collected while working on the internal evaluation of a Horizon 2020-funded project. Analysis of the results of the mixed methods evaluation design was used to characterise occurrences of organisational learning and change.

The authors identified different forms of learning (single-loop learning, double-loop learning, reflexive and reflective learning and situational learning). The extent of learning that could lead to long-lasting organisational change was limited. This was due to the project-based and organisational design, the key-based definition of RRI and the indeterminacy of what constitutes learning and change – both at the level of funding and performing the project. For organisational change to occur, the authors argue for governance mechanisms based on reflexive learning that consider a range of structural conditions and measures.

Organisational learning plays an important role in change processes, which has so far been given too little consideration concerning the governance and implementation of RRI through project-based funding. The authors argue for a restructuring of governance and funding mechanisms to create more space for reflexivity and learning.

The purpose of this paper is to model a process for moving toward sustainable ecosystem service decisions in a Coastal Biodiversity and discuss the directions of the process for decision-makers to apply in ocean ecosystem services.

After the development of theoretical approaches to understand their prospects for the future development of ecosystem services, the authors worked on a process for developing factors for sustainable decision-making. It uses the Delphi method to develop all the factors supported by six dimensions in two specific moments: deductive-inductive and inductive-deductive.

This process of modeling the factors expands the possibility of adaptive governance to make prior and subsequent decisions using factors related to dimensions, stakeholders and benefits, risks, opportunities and costs.

Considering the limitations, future studies could use another database to widen the view in terms of the studies, factors, dimensions and other additional information to maintain the evolution of this process in ocean ecosystem services decision-making. Another limitation arose in the number of projects and experts defining the factors. This may prevent the opportunity to have more impact in terms of future decisions if more sources are used in the market. In addition, time and the access to experts during this modeling process demonstrate a limitation, as does the time for feedback.

This set of factors developed for adaptive governance decision-making can be applied to develop a prior alignment of stakeholder interests with sustainable practices.

This set of factors developed with the intervention of experts reinforces the importance of sustainable collective decisions on ocean ecosystem services. This is a joint approach with participants in the NextOcean project, sponsored by the European Commissions (EC)’s Horizon 2020 program. An Earth Observation-based Consortia aims to create sustainable value for Space, Land and Oceans.

This modeling process generated dimensions and factors to support adaptive governance stakeholders in making sustainable decisions in a coastal biodiversity zone.

Rising greenhouse gases have contributed to global warming above the pre-industrial levels with detrimental effects on world climatic patterns. Extreme weather has inflicted drastic impacts, including loss of lives and livelihoods and economic disruption. However, collective international cooperation in adopting greenhouse gas emission mitigating measures can translate into long-run beneficial effects of improving environmental quality. This study examines if international environmental cooperation among the world's top ten polluters can reduce production side emissions.

The panel estimation procedure was applied to data from ten top polluting countries from 2000 to 2019.

The results revealed a statistically significant inverse association between a nation's commitments to international environmental treaties and carbon dioxide emissions. Other than confirming the environmental Kuznets curve effect, industrial intensification, international trade and law rule are other strong correlations of carbon dioxide emissions.

The main policy implication is the urgency for the leaders of the world's top ten polluters to actively cooperate in developing and implementing new production-side carbon emission measures as well as the implementation and enforcement of existing international treaties to minimize further environmental damage and let the countries in the lower ranks of carbon emissions to enjoy the long-run benefits of the decarbonized world.

This study makes a new contribution to the environmental research literature by unfolding how collective global cooperation on environmental challenges can help reduce environmental damage in a coherent analytical framework.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2022-0598

This paper investigates how power and narratives among actors relate to the process of agenda-setting and deliberation in the context of climate change loss and damage. The focus is to understand how grassroots voices manifest their concerns on intensifying economic and non-economic impacts of climate change loss and damage which affect them.

This paper is based on the case of the Southeast Asia climate change loss and damage workshop in Bohol, Philippines in August 2022. It utilizes lesson drawing as a critical approach by thematic analysis in making sense of the data gathered from the perspectives of participant observers and facilitators.

There are different levels of power and dominant narratives actors in a deliberative process propel in taking a stance over a particular issue towards agenda-setting and policy framing. The power and narratives help actors to maintain and emphasize their position, exercise authority, and to some point, suppress weak voices. Narratives associated with emotions, sentiments, ideologies, and value systems of the grassroots, community leaders, and climate justice movements tend to be devalued by those in a high level of power and authority.

Techno-authoritarian domination explicitly hampers a genuine grassroots involvement in the policy process, especially towards agenda-setting of immediate concerns about climate change loss and damage which affect the public. Critiquing actors’ power and narratives are productive in identifying and propagating the type of deliberative spaces that speak truth to power.

The purpose of this study is to assess how intergovernmental panel on climate change’s (IPCC’s) sixth assessment report of Working Group I (WGI), a Summary for Policymakers (SPM), has evaluated the current climate change situation. The author uses the qualitative content analysis (QCA) method (i.e. summative content analysis [SCA]) to identify critical points of the SPM.

To better understand the WGI report and its SPM, the author uses the thematic analysis, often called the QCA method. This study takes more steps and uses one of the main qualitative content analysis approaches (i.e. SCA). Therefore, QCA (SCA) can help the author count the occurrence of certain words using computer-assisted qualitative data analysis software that quantifies the words in the data. This process helps the author to understand codes and patterns (e.g. the concept in the results section).

Interestingly, the AR6 says more about adaptation for policy makers in sections C (Climate information for risk assessment) and D (Mitigation of future climate change) than in sections A and D. Finally, this study concludes that the IPCC WGI SPM has addressed evidence on global climate change policymaking for SPMa, SPMd (mitigation-based strategies and mitigation policy [MP]) and SPMb, SPMc (adaptation policy and adaptation-based strategy).

First, this study refers only to the contribution of WGI, a SPM. The findings of this study do not necessarily provide a full understanding of what the AR6 WGI SPM says about climate change. It points out that the QDA Miner software and Voyant tool do not include all variables and examples where mitigation and adaptation-based strategies are discussed. The guidance for coding is based on the approved version of IPCC AR6 WGI SPM. The final limitation is that the relatedness of key words (e.g. confidence, high and warming) is sometimes ambiguous; even experts may disagree on how the words are linked to form a concept. Thus, this method works at the keyword level. A more intelligent method would use more meaningful information than keywords.

This study used qualitative data analysis (SCA) to explore what was said about climate change in four sections of the IPCC AR6 WGI SPM, which may influence current and future global climate change policymaking.

Soil quality is in decline in many parts of the world, in part due to the intensification of agricultural practices. Whilst economic instruments and regulations can help incentivise uptake of more sustainable soil management practices, they rarely motivate long-term behavior change when used alone. There has been increasing attention towards the complex social factors that affect uptake of sustainable soil management practices. To understand why some communities try these practices whilst others do not, we undertook a narrative review to understand how social capital influences adoption in developed nations. We found that the four components of social capital – trust, norms, connectedness and power – can all influence the decision of farmers to change their soil management. Specifically, information flows more effectively across trusted, diverse networks where social norms exist to encourage innovation. Uptake is more limited in homogenous, close-knit farming communities that do not have many links with non-farmers and where there is a strong social norm to adhere to the status quo. Power can enhance or inhibit uptake depending on its characteristics. Future research, policy and practice should consider whether a lack of social capital could hinder uptake of new practices and, if so, which aspects of social capital could be developed to increase adoption of sustainable soil management practices. Enabling diverse, collaborative groups (including farmers, advisers and government officials) to work constructively together could help build social capital, where they can co-define, -develop and -enact measures to sustainably manage soils.

This study aims to investigate how Living Labs of Van Hall Larenstein UAS perform as sustainability-oriented, transdisciplinary learning environments. It shows how the sustainable development goals (SDGs) can be used as a compass and debates the sustainability impact of applied research.

A case study approach was adopted, including a literature review, scoping visits, online workshops and peer-to-peer inter-vision/learning, using the SDGs as a compass and framework for analysis.

Most Living Labs use a “silo-approach” on the SDGs and are designed from a technological-expert perspective. This results in blind spots, particularly on SDGs related to reducing socio-economic inequality and just institutions. Debating unsustainable systems, cultures and practices is avoided. To contribute to sustainability transitions, universities need to invest in developing transformative capacity. This refers to SDG-transition competences such as collaborative communication, constructively engaging with diversity and conflicts, discussing values, norms and ethics and encouraging reflexivity.

Mainly lecturer-researchers were involved in the study. COVID-19 travel restrictions hindered the research at the grassroots level in India and Indonesia.

The study revealed the importance of creating Living Labs as safe and brave inter- and transdisciplinary learning environments to practice reflexivity: encouraging students, researchers and stakeholders to look at sustainability issues from plural perspectives and questioning unsustainable practices, which combined lead to changing perceptions, practices and relations and a deeper understanding of how change happens. The SDGs as a compass method supports reflexivity among stakeholders and in redirecting strategies towards a sustainable future.

In this paper we (a pracademic, a practitioner, and an academic) aim to explore the academic/practitioner gap in social marketing and offer recommendations to close it, while amplifying existing examples of best practice from within the field. We also propose a research agenda to spur dialog and guide further investigations in this area. Insights from prior research, coupled with the co-authors’ experience and observations, indicate that a disconnect does exist between academia and practice within social marketing, though it is admittedly and unsurprisingly not uniform across contexts and disciplinary areas. Given social marketing’s identity as a practice-oriented field, there are many existing examples of academic/practitioner collaboration and the successful linkage of theory and practice that deserve to be amplified. However, the challenges associated with the very different systems and structures affecting both worlds mean the disconnect is problematic enough to warrant systematic change to ensure the two worlds are more aligned.

This paper (a pracademic, a practitioner and an academic) explores the academic/practitioner gap in social marketing and offer recommendations to close it, while amplifying existing examples of best practice from within the field. The authors also propose a research agenda to spur dialog and guide further investigations in this area.

The authors suggest five key reasons that focus should be placed upon closing the academic/practitioner gap in social marketing: demonstrating societal value by contributing to practice; embedding and developing theories in practice; adding to the social marketing literature; contributing to social marketing teaching; and communicating the value and effectiveness of social marketing. To close the gap, the authors propose specific recommendations within four broad areas: marketing the academia and practitioner collaboration offer; building ongoing relationships; creating collaborative partnerships; and changing the publishing model ensuring communications are accessible to all. They also suggest ways for social marketing associations and peak bodies to play a role.

The concept of a disconnect between academia and practice is by no means new; it has been a pervasive issue across disciplines for decades. However, this issue has not been the subject of much discussion within the social marketing literature. Recommendations outlined in this paper serve as a starting point for discussion. The authors also acknowledge that due to long standing “bright spots” in the field, numerous examples currently exist. They place an emphasis upon highlighting these examples while illuminating a path forward.